Mustafa Coskun

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The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic pressure and pulse values. As it is generally agreed today that the brain is in stable state and the delta-theta bands of the EEG(More)
a r t i c l e i n f o a b s t r a c t The prominence of social media has contributed to open information access for the researchers. With voluntary information sharing structure of Twitter, user disposition and sentiment analyses can be performed for determining the emotional well-being of the citizens. In this respect, we adopted a sentiment analysis model(More)
Link prediction is an important and well-studiedproblem in network analysis, with a broad range of applicationsincluding recommender systems, anomaly detection, and denoising. The general principle in link prediction is to use thetopological characteristics of the nodes in the network to predictedges that might be added to or removed from the network. While(More)
Drug response prediction is a well-studied problem in which the molecular profile of a given sample is used to predict the effect of a given drug on that sample. Effective solutions to this problem hold the key for precision medicine. In cancer research, genomic data from cell lines are often utilized as features to develop machine learning models(More)
This Article contains a typographical error in the Results section under the subheading 'Method Comparison'. " In order to better understand the accuracy of our method, we compare it against the top performing approach in the DREAM Drug Sensitivity Prediction Challenge, Gonen and Margolin's kernelized Bayesian multitask learning (KBMTL) algorithm 19 ".(More)
Network proximity is at the heart of a large class of network analytics and information retrieval techniques, including node/ edge rankings, network alignment, and randomwalk based proximity queries, among many others. Owing to its importance, significant effort has been devoted to accelerating iterative processes underlying network proximity computations.(More)
– Application geographic information systems (GISs) and remote sensing integration to provide determination of runoff from watershed has performed increasingly attention in recent years. In this study, Natural Resources Conservation Service Curve Number (NRCS-CN) method was used to estimate Curve number according to the factors of hydrological soil group,(More)
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